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Katie Masiello

Resources tagged Katie Masiello#

Katie Masiello || Build a Codenames app using {pins} and Shiny! || RStudio

00:00 Introduction 00:05 Project outline 03:56 Create a codename generator (using RMarkdown) 09:35 Publish to RStudio Connect 10:38 Create a Shiny app 18:15 A little bit of troubleshooting 18:18 Ta-da! Learn more about the pins package here: https://pins.rstudio.com/ Learn more about Shiny here: https://shiny.rstudio.com/ And learn more about RStudio Connect here: https://www.rstudio.com/products/connect/ Got questions? The RStudio Community site is a great place to get assistance: https://community.rstudio.com/ Content: Katie Masiello (@katieontheridge) Animation, motion design, and editing: Jesse Mostipak (@kierisi) Theme song: Contrarian by Blue Dot Sessions (https://app.sessions.blue/browse/track/64281)

May 19, 2022

18 min

rmarkdown rstudio Shiny RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate Pins Codenames Katie Masiello

video

RStudio's {pins} package: what it is, how it works, and what it can do for you! || RStudio

RStudio's {pins} package: what it is, how it works, and what it can do for you! || RStudio

00:00 Introduction 00:09 What is the pins package? 01:49 pins - not just for RStudio Connect! 02:31 pins use cases 04:47 How to use pins instead of final_final_01_noreallyfinal.xls 06:37 How do pin boards work? 08:55 Getting started with pins 10:42 Versioning with pins at the board or pin level 11:47 pins and caching 12:13 Things you shouldn't pin 14:00 Major functions in the pins package 17:21 Using pin_upload( ) and pin_download( ) 19:52 pins and Google Cloud 21:27 pins and modelops with the vetiver package Learn more about the pins package here: https://pins.rstudio.com/ Got questions? The RStudio Community site is a great place to get assistance: https://community.rstudio.com/ Content: Katie Masiello (@katieontheridge) and Jesse Mostipak (@kierisi) Animation, motion design, and editing: Jesse Mostipak (@kierisi) Theme song: Contrarian by Blue Dot Sessions (https://app.sessions.blue/browse/track/64281)

May 17, 2022

26 min

rstudio RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate Pins Katie Masiello Jesse Mostipak

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Katie Masiello | Professional Case Studies | RStudio (2020)

Katie Masiello | Professional Case Studies | RStudio (2020)

The path to becoming a world-class, data-driven organization is daunting. The challenges you will likely face along the way can be thorny, and in some cases, seem outright impossible to overcome. How do you get teams that traditionally butt heads, such as IT and data science, to complement each other and work in unison? How can you efficiently scale the scope and reach of your data products as requirements change? Your time should be spent doing truly valuable work instead of updating charts and reports. How do you prevent the support structure behind your platform from toppling like a house of cards? Despite these challenges, we think that the end result is worth it: an organization that is equipped to make important decisions, with confidence, using data analysis that comes from a sustainable environment. We see this outcome every day

Nov 20, 2020

21 min

rstudio Rstudio::conf(2020) Katie Masiello RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate